Today, a large number of methods, measures and case studies have been published about structure analysis of static complex networks. Whatever these networks are directed, weighted or multi-layered, there are now efficient methods for modelling or mining their structure and a lot of them are implemented in usual softwares. At the beginning, in the 2000s, network science was mainly focused on the detection of macroscopic properties. It was shown, for example, that many real world networks had a “small-world” property [1]} or that their degree distribution is a power-law [2]}. However, these configurations can hide very different configurations [3]}, [4]} and complementary approaches quickly became necessary.
